GEDI L3 and L4 Tutorials
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Updated
Oct 23, 2024 - Jupyter Notebook
GEDI L3 and L4 Tutorials
Simple Oceanic Mesoscale Eddy Detection based on sea level anomaly (sla)
Interpolation of gridded 2D ocean/atmosphere GCM data onto 1D satellite tracks + spectral analysis
Pedal Guru is an open-source software for bicycle computers based on Raspberry Pi.
Python interpretation of the NASA Goddard Space Flight Center YAPC ("Yet Another Photon Classifier") algorithm
Spatial and temporal interpolation of satellite altimetry data usinig Diva & Divand methods
Tools for Estimating Grounding Zone Locations with data from NASA Polar Altimetry Missions
Python package for analyzing NASA GEDI data. GEDI is a LiDAR dataset that is acquired using the International Space Station.
Interactive visualization and data extraction tool for ICESat-2 ATL14/15 Gridded Land Ice Height Products
Download water level data from https://dahiti.dgfi.tum.de/en/
Utilities for organizing and manipulating point data
Web app which allows runners to have a complete online tracking in the training or race. Eventually it will allow make suggestions based on the circuit.
Internship I have done during my Masters degree
Study of the sea level variation using radar altimetry and tide gauges' data.
This collection of MATLAB® functions is for working with Airborne Topographic Mapper (ATM) laser altimetry data products in HDF5 waveform format.
River water level altimetric data basic analysis
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